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    彭云

    • 副教授     博士生导师 硕士生导师
    • 性别:女
    • 毕业院校:大连理工大学
    • 学位:博士
    • 所在单位:水利工程系
    • 学科:港口、海岸及近海工程
    • 办公地点:综合实验三号楼410
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    A stochastic seaport network retrofit management problem considering shipping routing design

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      发布时间:2019-03-09

      论文类型:期刊论文

      发表时间:2016-01-01

      发表刊物:OCEAN & COASTAL MANAGEMENT

      收录刊物:EI、SCIE

      卷号:119

      页面范围:169-176

      ISSN号:0964-5691

      关键字:Seaport management; Stochastic programming; Network retrofit; Shipping routing design

      摘要:Seaports are exposed to various uncertain disasters caused by natural or human factors, which have multi-dimensional impacts on the economy. Retrofit appears as one of the effective mitigation methods to protect the seaport network and to reduce the post-disaster loss in the port management engineering. The post-disaster loss is quantified by replacement or repair cost of the structural damage and travel delay loss of vessels. Therefore, given a set of seaports, this paper aims to provide solutions for which seaports should be retrofitted in order to minimize the damage loss due to unpredictable disasters. We first present a network representation of a seaport shipping network. Based on the network, a two-stage stochastic programming model is formulated with a sub-model of the shipping routing design. Benders decomposition method is then used to solve the mixed-integer non-linear problem. Finally, we apply the two-stage model to solve the retrofit problem of eight mainline seaports in China Mainland. The real-time case study shows that the proposed model is efficient to get good solutions. (C) 2015 Elsevier Ltd. All rights reserved.